package com.example.io.datajek.springbasics.movierecommendersystem.lesson8;

import org.springframework.boot.SpringApplication;
import org.springframework.boot.autoconfigure.SpringBootApplication;
import org.springframework.context.ApplicationContext;

import java.util.Arrays;

@SpringBootApplication
public class MovieRecommenderSystemApplication {
    public static void main(String[] args){
        //ApplicationContext负责管理Bean和依赖关系。
        //使用ApplicationContext来查找正在使用的过滤器
        ApplicationContext appContext = SpringApplication.run(MovieRecommenderSystemApplication.class, args);

        //从Application Context中三次检索Singleton Bean
//        CollaborativeFilter nb = appContext.getBean(CollaborativeFilter.class);
//        CollaborativeFilter nb555 = appContext.getBean(CollaborativeFilter.class);
//        CollaborativeFilter nb666 = appContext.getBean(CollaborativeFilter.class);
//
//        System.out.println(444);
//        System.out.println(555);
//        System.out.println(666);
        //System.out.println("Calling getBean() on RecommenderImplementation");
        //调用getBean方法来显示构造函数注入的发生
        //RecommenderImplementation recommender = appContext.getBean(RecommenderImplementation.class);
        //调用方法来获得推荐
        //String[] result = recommender.recommendMovies("Finding Dory");
        //显示结果
        //System.out.println(Arrays.toString(result));

//        RecommenderImplementation2使用setter方法注入依赖关系
//        System.out.println("Calling getBean() on RecommenderImplementation2");
//        RecommenderImplementation2 recommender2 = appContext.getBean(RecommenderImplementation2.class);
//        String[] result = recommender2.recommendMovies("Finding Dory");
//        System.out.println(Arrays.toString(result));
    }
}
